Aug 2026· Discover Education· Vol 5· 0 citations· 24 references
Abstract
Understanding the emotional states of university students is essential for addressing academic performance, well-being, and institutional support. This paper presents EduAffect, a novel emotion-labeled dataset constructed from public social media posts and structured survey responses by University Students in Ghana. The dataset comprises 2423 entries annotated using 28 fine-grained emotion labels (27 emotions plus Neutral) based on the GoEmotions framework. Each entry is tagged with a single emotion label, enabling context aware emotional analysis. The data reflects culturally grounded expressions in English and English-Twi code-switching. A thorough preprocessing pipeline ensured text quality, anonymisation, and language consistency. We provide detailed insights into the label distribution, lexical characteristics, and real-world examples, supported by a comprehensive taxonomy and sentiment mapping. This dataset fills a critical gap in student-focused emotion resources and offers a valuable foundation for future research in affective computing, student mental health, and emotion-aware educational technologies.
The virtualized nature of online English instruction weakens affective interaction between teachers and learners. This study proposes a multimodal dialogue emotion recognition method based on a semantic-enhanced graph and develops an emotion classification framework optimized for the unique multimodal noise and implici...
Xiao-Li Huang, A. Cheema· PeerJ Computer Science· 0 citations
Summative course feedback often leaves instructors with more questions than answers, particularly when interpreting student experiences across diverse populations and determining meaningful improvements. In high-enrollment, introductory computing courses, this challenge is especially pressing. Students and faculty from...
C. Young, Ahmad Al Doulat, Puskar Joshi et al.· The Open/Technology in Educa...· 0 citations
In smart education, it is very important to understand teachers' emotions during teaching, as the emotions of teachers influence students' participation, learning ability and classroom atmosphere. Today there are 3 problems that hinder the methods used. First, the direction of the head is not considered to have any rea...
Darshan Kachhiya, Dharmit Fadadu, Sarita Thummar· International Workshop on Ar...· 0 citations
Mental health disorders such as depression, anxiety, and attention deficit hyperactivity disorder (ADHD) are public health concerns among adolescents. Social media produces textual data reflecting users' emotional and psychological states. This research proposes a transformer-based approach for early mental health scre...
J. Imanuel, Dita Pramesti, H. Fakhrurroja· International Conferences on...· 0 citations
A two-stage method for identifying emotional risk signals in Korean adolescent utterances by integrating KoBERT-based emotion recognition, conversational context, and PHQ-9-informed lexical weighting is proposed.
Hyeon Bin Park, Myung-Jin Lim, J. Shin· Korean Institute of Smart Me...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
